Instructions to use krystv/hestyle-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krystv/hestyle-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krystv/hestyle-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - art | |
| - style | |
| language: | |
| - en | |
| ### heStyle-Diffusion | |
| Is a Dreamboothed model of `runway_1-5v` stable diffusion model. Trained on some beautiful anime images online speciallly for Room interior and Wallpapers. | |
| ### Trigger Word(Otional): | |
| `hestyle` may be useful in cases where model behave something else. | |
| ### 💞 Send me Query at : | |
| [](https://www.instagram.com/iamhemantindia) | |
| You can test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) | |
| Sample pictures of this concept: | |
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